摘要
针对规模化电动汽车并网所造成的配电网负荷时空分布不均、重过载常发等问题,提出了一种基于交能耦合的电动汽车有序充馈电策略。首先,构建了ETS(电力-交通-社会)信息耦合模型,模型整合了电网拓扑、路-网结构及充馈电交易机制等多维信息。其次,提出用户激励阈值概念,以提升电动汽车对调控指令的响应效率。在此基础上,综合考虑慢充-快充等多种充电方式,采用双层粒子群优化算法优化调控指令,其中上层优化以最大化充电聚合商和电网公司收益为目标,下层优化则致力于最小化用户激励成本。仿真分析结果表明,所提策略能有效平抑负荷波动,提高新能源消纳能力,同时实现了多方利益主体的协同优化。
To address spatiotemporal load imbalances and frequent overloading in distribution networks caused by large-scale electric vehicle(EV)integration,this paper proposes an orderly charging/discharging strategy leverag⁃ing power-traffic coupling.First,an electricity-transportation-society(ETS)coupling model is developed,integrat⁃ing grid topology,road-network infrastructure,and transaction mechanisms.Second,the concept of user incentive threshold is introduced to enhance EV response efficiency to control signals.Building upon this,the strategy accom⁃modates multiple charging modes(slow/fast charging)and employs bi-level particle swarm optimization(PSO)for control signal optimization:the upper layer maximizes revenues for both charging aggregators and grid operators,while the lower layer minimizes user incentive costs.Simulations results demonstrate that the strategy effectively mitigates load fluctuations,enhances renewable energy accommodation,and coordinates stakeholder interests.
作者
张勇军
林靖淳
林衍扬
ZHANG Yongjun;LIN Jingchun;LIN Yanyang(Research Center for Smart Energy Technology,School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《浙江电力》
2025年第10期112-120,共9页
Zhejiang Electric Power
基金
国家自然科学基金(52177085)
关键词
电动汽车
有序充馈电
交能融合
EV
orderly charging/discharging
power-traffic coupling
